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A Posterior Probability-based System Hybridisation and Combination for Spoken Term Detection

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  • J. Tejedor
  • D. Wang
  • S. King
  • J. Frankel
  • J. Colas

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    Rights statement: Tejedor, J., Wang, D., King, S., Frankel, J., & Colas, J. (2009). A Posterior Probability-based System Hybridisation and Combination for Spoken Term Detection. In Interspeech. (pp. 2131-2134). Citeseer.

    Accepted author manuscript, 271 KB, PDF-document

http://hdl.handle.net/1842/3954
http://www.isca-speech.org/archive/interspeech_2009/i09_2131.html
Original languageEnglish
Title of host publicationInterspeech
PublisherCiteseer
Pages2131-2134
Number of pages4
Volume2009
Publication statusPublished - Sep 2009

Abstract

Spoken term detection (STD) is a fundamental task for multimedia information retrieval. To improve the detection performance, we have presented a direct posterior-based confidence measure generated from a neural network. In this paper, we propose a detection-independent confidence estimation based on the direct posterior confidence measure, in which the decision making is totally separated from the term detection. Based on this idea, we first present a hybrid system which conducts the term detection and confidence estimation based on different sub-word units, and then propose a combination method which merges detections from heterogeneous term detectors based on the direct posterior-based confidence. Experimental results demonstrated that the proposed methods improved system performance considerably for both English and Spanish.

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